도구

Git worktree manager (wt) built for running multiple AI agents in parallel: create, switch and clean up worktrees by branch name, and spin up a worktree and launch Claude in one command. Supports hooks, LLM-generated commit messages and one-step merges.

Twelve research skills from Prof. Yuyu Luo's team at HKUST (Guangzhou), built on a decade of top-venue publishing and reviewing: idea evaluation, intro and body writing, polishing, surveys, pre-submission review, figures, Draw.io rebuilds and rebuttals. Non-commercial license.

Bundles 60+ full-stack specialist skills into one plugin: experts for 12 languages including Python, TypeScript, Go, Rust and Java, and frameworks like React, Django and Spring Boot, activated automatically by request. Also includes Jira and Confluence workflow commands (needs Atlassian MCP).

Connects to the Arize Phoenix observability platform so agents can query LLM traces and sessions, manage prompts, browse datasets and read experiment evaluation results. Maintained by Arize; needs a self-hosted or cloud Phoenix instance.

ByteDance's open-source, general software engineering agent: trae-cli edits files and runs commands from natural language, supports multiple model providers and MCP, and records full execution trajectories. Transparent design suits agent research and customization. Needs your own model API key.

Design engineer Jakub Krehel's 11 UI skills: targeted fixes for typography, color, layout, accessibility and UI copy, plus full interface reviews, animation teardowns, component state stress tests and multi-variant generation. Works on web project code; installing needs Node.js.

MySQL terminal client with smart autocompletion and syntax highlighting, also compatible with MariaDB and TiDB. Supports --execute and batch mode with CSV or table output, so agents can run SQL directly.

Scans files and directories for personal data such as names, emails and credit card numbers using Presidio Analyzer, with configurable entity types, confidence thresholds and ignore rules. Needs Python 3.10+ and a spaCy language model.

Lets Claude Code, Codex and other agents call Gemini, GPT, Ollama and other models to collaborate on code review, debugging, planning and multi-model consensus, and can bridge to other CLI agents. Configure at least one provider (API key or local Ollama). Formerly Zen MCP.

Reads local session files to report token usage and cost by project, model, task and branch for Claude Code, Codex, Cursor and dozens of other coding agents, no sign-up needed. Also offers config optimization tips, quota checks and spend-cap hooks. Needs Node.js 22.13+.

Optimizes websites for AI search: checks whether ChatGPT, Perplexity and Google AI Overviews can cite your site, covering AI crawler access, llms.txt, structured data, E-E-A-T and technical SEO, and writes client reports. PDF reports and scoring need the README install script, Python 3.8+ and Git.

Publishes SQLite databases as browsable, queryable web pages and JSON APIs, with SQL queries, metadata and plugins, and deploys to Cloud Run and other platforms with datasette publish. Great for data exploration and data journalism. Needs Python 3.10+.

Google's official dependency vulnerability scanner: parses project lockfiles and container images, checks them against the OSV.dev database to find affected dependencies, and can suggest upgrade fixes (experimental).

Spec-driven development and context engineering framework (formerly Get Shit Done): a five-step loop of discuss, plan, execute, verify and ship, handing heavy work to subagents with fresh context to avoid degradation in long sessions. Supports Claude Code, Codex and more.

GitHub's official terminal coding agent, sharing its harness with the Copilot coding agent and shipping with the GitHub MCP built in. Work with repos, issues and PRs in natural language, approving each action before it runs. Requires a Copilot subscription.

Lets agents fine-tune language and vision models with TRL or Unsloth on Hugging Face Jobs cloud GPUs, supporting SFT, DPO, GRPO and reward models, and convert results to GGUF for local use. Requires an HF Pro or higher paid plan. Maintained by Hugging Face.

Lets agents work with the Hugging Face Hub through the hf CLI: search and download models and datasets, manage repos and Spaces, and run training and evaluation jobs on cloud GPUs, with more workflow skills installable as needed. Maintained by Hugging Face.

Hugging Face's official skills: manage Hub models and datasets with the hf CLI, fine-tune language and vision models, run model evaluations, and build Gradio apps deployed to Spaces. Needs an HF account; cloud training on HF Jobs requires a paid plan.

Teaches agents the Hugging Face Hub CLI hf: search and download models, manage datasets, Spaces, Buckets and repos, and run Jobs and inference endpoints. The skill content is generated from your local CLI, so install hf first. Maintained by Hugging Face.

The official MCP debugging tool: connect to any MCP server through a web UI, CLI or terminal UI to list and call its tools, resources and prompts. CLI mode outputs JSON, suited to scripts and CI smoke tests.

Publication-quality matplotlib plotting skill from a Yale PhD student: bar charts, trends, heatmaps and multi-panel figures with consistent fonts, colors and export settings, plus real plotting scripts from papers published in venues like Nature Machine Intelligence. Needs Python.

UI skills for design engineers: clean up spacing and hierarchy in AI-generated interfaces, fix accessibility and page metadata, debug janky animations, build DESIGN.md from an existing product or site, and run read-only UI reviews with fix plans. Use with a local frontend project in a coding agent.

Turns terminal output like architecture explanations, diff reviews and plan comparisons into styled HTML pages or slides with zoomable interactive Mermaid diagrams, replacing hard-to-read ASCII diagrams and tables. No build step; open directly in a browser.

Builds a scroll-scrubbed fly-through 3D world landing page for any brand: generates scene stills with Higgsfield and seamless camera clips via Monid (Seedance 2.0, paid per clip) or Higgsfield credits, then wires a vanilla JS scrub engine. Needs Higgsfield CLI and ffmpeg.